Evidence map›Paper›PMID 36979591›Full record

ArticleBiosensors2023

Photoelectrochemical Determination of Cardiac Troponin I as a Biomarker of Myocardial Infarction Using a Bi

Thatyara Oliveira Monteiro, Antônio Gomes Dos Santos Neto, Alan Silva de Menezes, Flávio Santos Damos, Rita de Cássia Silva Luz, Orlando Fatibello-Filho

Open access · goldFull text read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 16 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Thatyara Oliveira MonteiroDepartment of Chemistry, Federal University of São Carlos, São Carlos 13565-905, SP, Brazil.
Antônio Gomes Dos Santos NetoDepartment of Chemistry, Federal University of Maranhão, São Luís 65080-805, MA, Brazil.
Alan Silva de MenezesDepartment of Physics, Federal University of Maranhão, São Luís 65080-805, MA, Brazil.ORCID 0000-0002-8817-0156
Flávio Santos DamosDepartment of Chemistry, Federal University of Maranhão, São Luís 65080-805, MA, Brazil.
Rita de Cássia Silva LuzDepartment of Chemistry, Federal University of Maranhão, São Luís 65080-805, MA, Brazil.
Orlando Fatibello-FilhoDepartment of Chemistry, Federal University of São Carlos, São Carlos 13565-905, SP, Brazil.ORCID 0000-0002-6923-2227
Universidade Federal do Maranhão · BRUniversidade Federal de São Carlos · BR

Funding

FAPESP 2020/01050-5Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão INFRA-02021/21; INFRA-02050/21; INFRA-02203/2021; UNIVERSAL-06535/22; POS-GRAD-02432/21Institutos Nacionais de Ciência e Tecnologia 465389/2014-7National Council for Scientific and Technological Development Grants: 308204/2018-2; 309828/2020-1; 305806/2020-3; 313324/2021-2
6 · The paper itself

Abstract

A sensitive and selective label-free photoelectrochemical (PEC) immunosensor was designed for the detection of cardiac troponin I (cTnI). The platform was based on a fluorine-doped tin oxide (FTO)-coated glass photoelectrode modified with bismuth vanadate (BiVO

Indexed as

Biosensing TechniquesMyocardial InfarctionBiomarkersElectrochemical TechniquesElectrodesFluorineHumansImmunoassayLimit of DetectionTin CompoundsTroponin IBiomarkersFluorinestannic oxideTin CompoundsTroponin Ibismuth sulfidebismuth vanadatecTnIPEC immunosensor

Identifiers

PMID36979591
PMCPMC10046628
OpenAlexW4324150329

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read45
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.